---
title: "Overview"
description: "Integrate Klavis MCP Servers with leading AI platforms to build powerful AI agents"
---

import OpenaiCard from '/snippets/ai-platform-card/openai-card.mdx';
import ClaudeCard from '/snippets/ai-platform-card/claude-card.mdx';
import GeminiCard from '/snippets/ai-platform-card/gemini-card.mdx';
import GoogleAdkCard from '/snippets/ai-platform-card/google-adk-card.mdx';
import LlamaindexCard from '/snippets/ai-platform-card/llamaindex-card.mdx';
import TogetherAiCard from '/snippets/ai-platform-card/together-ai-card.mdx';
import FireworksAiCard from '/snippets/ai-platform-card/fireworks-ai-card.mdx';
import CrewAiCard from '/snippets/ai-platform-card/crewai-card.mdx';
import LangChainCard from '/snippets/ai-platform-card/langchain-card.mdx';
import MastraCard from '/snippets/ai-platform-card/mastra-card.mdx';
import MistralCard from '/snippets/ai-platform-card/mistral-card.mdx'
import CohereCard from '/snippets/ai-platform-card/cohere-card.mdx'
import AgnoCard from '/snippets/ai-platform-card/agno-card.mdx'

# AI Platform Integrations

Klavis AI seamlessly integrates with leading AI platforms, enabling you to build sophisticated AI agents that can interact with external services and APIs via MCP.

## Available Integrations
<CardGroup cols={3}>
  <AgnoCard />
  <ClaudeCard />
  <CohereCard />
  <CrewAiCard />
  <FireworksAiCard />
  <GeminiCard />
  <GoogleAdkCard />
  <LangChainCard />
  <LlamaindexCard />
  <MastraCard />
  <MistralCard />
  <OpenaiCard />
  <TogetherAiCard />
</CardGroup>

## How It Works

The integration pattern is consistent across all AI platforms:

1. **Setup**: Configure your AI platform API key and Klavis API key
2. **MCP Instance**: Create MCP server instances for the services you need (YouTube, Gmail, Slack, etc.)
3. **Agent Creation**: Build an AI agent that discovers available tools from MCP servers
4. **Function Calling**: The AI platform's LLM decides which tools to use based on user requests
5. **Tool Execution**: Tools are executed through Klavis API to remote MCP Servers and results are returned to the LLM
6. **Smart Response**: The LLM generates intelligent responses based on tool results

## Common Use Cases

<CardGroup cols={3}>
  <Card title="Content Analysis" icon="chart-line">
    Summarize YouTube videos, analyze documents, extract insights from web content
  </Card>
  <Card title="Communication" icon="envelope">
    Send emails, post to Slack, create calendar events, manage contacts
  </Card>
  <Card title="Data Management" icon="database">
    Query databases, update spreadsheets, sync information across platforms
  </Card>
  <Card title="Project Management" icon="list">
    Create tickets in Jira, update Notion pages, manage Asana tasks
  </Card>
  <Card title="Research & Development" icon="microscope">
    Web search, document analysis, code generation, API integrations
  </Card>
  <Card title="Business Automation" icon="wrench">
    CRM updates, sales workflows, customer support, reporting
  </Card>
</CardGroup>

## Getting Started

<Steps>
  <Step title="Choose Your AI Platform">
    Select the AI platform that best fits your needs from our available integrations
  </Step>
  <Step title="Get API Keys">
    Obtain API keys from both your chosen AI platform and Klavis AI
  </Step>
  <Step title="Follow the Guide">
    Use our step-by-step integration guides to build your first AI agent
  </Step>
  <Step title="Expand Capabilities">
    Add more MCP servers to give your agent access to additional tools and services
  </Step>
</Steps>

Ready to build intelligent AI agents? Choose your preferred AI platform and start building! 